MacBook Pro (14-inch, 2024)
Geekbench AI Score
4945
Single Precision Score
8041
Half Precision Score
6413
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Matso |
| Upload Date | March 11 2026 01:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3580
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19386
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16588
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3859
307.2 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4426
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8458
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14064
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9919
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24050
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38780
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31775
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7002
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5770
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8056
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7913
136.7 IPS |
